We adopt an upgraded training formula compared to the original Mask R-CNN. This formula was developed in [1]}, which demonstrated good from-scratch performance when training with normalization layers and for long enough, and [2]}, which demonstrated that a simple data augmentation method called large-scale jitter (LSJ) is effective at preventing overfitting and improves results when models are trained for very long schedules (, 400 epochs).
